Senior Data Engineer
Doctronic
New York, NY · $200k–$275k a year · Posted November 3, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Doctronic
More in New York job market · Senior Data Engineer jobs in New York, NY (27) · All Senior Data Engineer jobs (198) · Healthcare & Hospital Systems · Data & Analytics jobs
More roles at Doctronic
- Medical Director, Doctronic
- Senior Director of Implementation · New York, NY
- Engineering Manager, Product · San Francisco, CA
- Workplace Experience Manager · New York, NY
- Sales Operations Manager · New York, NY
- Partnerships Operations Manager · New York, NY
Similar jobs
- Lead Data Engineer · Coast · New York City, NY
- Data Engineer · Carlyle Group · New York, NY
- Data Engineer 4 (Manager, IC) · Capital One Financial · New York, NY
- Data Engineer 4 (Manager, IC) · Capital One · New York, NY
- Data Engineer 4 · Capital One Financial · New York, NY
- Data Engineer · Health First Administrative Plans · NY
Where New York, NY ranks
Where New York, NY placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for operations jobs1,429 openings · of 100
- #1Best cities for sales jobs2,774 openings · of 78
- #1Best cities for finance jobs1,932 openings · of 78
- #1Best cities for data and analytics jobs1,713 openings · of 58
- #1Best cities for HR jobs994 openings · of 30
- #1Best cities for marketing jobs1,754 openings · of 31
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $237,500 a year. Across 30 open senior data engineer listings that state pay, the middle half runs $137,500 to $190,000 and the median is $163,000. That is 46% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
THE ROLE
You will be Doctronic's first dedicated data engineer, and you will own the plumbing end to end: how data moves from our production systems into our lakehouse and warehouse, how it gets transformed into trusted, documented tables, and who can access what.
This role serves every team in the company: AI engineering, product, finance, partnerships, and data to name a few.
WHAT YOU'LL DO
- Build reliable, monitored CDC pipelines from our production databases (MariaDB, PostgreSQL, MongoDB) into our S3 + Iceberg lake and Snowflake
- Stand up a transformation layer (e.g. dbt) on Snowflake so core business metrics (visits, bookings, revenue, retention) come from tested, version-controlled models
- Select and implement an orchestration tool so pipelines and dashboard refreshes run automatically, with alerting when they break
- Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows
- Establish a single governed copy of production data that analytics, finance, and the AI team all read from
- Support the AI team's data needs for model training
- Design and build a best-practice warehouse architecture with clean raw, transformed, and business-ready layers powering our executive dashboards
WHAT WE'RE LOOKING FOR
- 5+ years of data engineering experience, including ownership of production data platforms end to end
- Strong SQL and Python, with experience building and operating ELT/CDC pipelines (Fivetran, Airbyte, or similar)
- Hands-on experience with a modern lakehouse/warehouse stack: S3, Apache Iceberg, a catalog layer, and Snowflake or an equivalent warehouse
- Experience with transformation frameworks (dbt or similar) and orchestration tools (Airflow, Dagster, Glue workflows, or similar)
- Solid AWS fundamentals: IAM, Lambda, Kinesis, Glue
- A pragmatic, reliability-first mindset
- Comfort operating with high autonomy and minimal specs in a flat, engineering-first organization
- Strong communication skills; you'll work directly with product, marketing, finance, and AI stakeholders
NICE TO HAVE
- Experience with HIPAA/PHI data governance, anonymization, or healthcare data
- Experience with event/behavioral data pipelines (ClickHouse, GTM/server-side tracking, CDPs)
- Familiarity with ML data workflows: feature pipelines, training datasets, notebook environments (SageMaker, Databricks, Jupyter)
- Experience with BI tooling (Metabase or similar) and semantic/metrics layers
- Prior experience as the first or only data engineer at a startup
COMPENSATION & BENEFITS
- Base salary range: $200,000 to $275,000 annually, depending on experience, plus meaningful equity
- Parental Leave: 12 weeks fully paid parental leave for all parents, regardless of gender or path to parenthood — no distinction between birthing and non-birthing parent